Open AccessFungal and bacterial microbiome dysbiosis and imbalance of trans‐kingdom network in asthma
Author(s) -
Huang Chunrong,
Yu Youchao,
Du Wei,
Liu Yahui,
Dai Ranran,
Tang Wei,
Wang Ping,
Zhang Chenhong,
Shi Guochao
Publication year - 2020
Publication title -
clinical and translational allergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.979
H-Index - 37
ISSN - 2045-7022
DOI - 10.1186/s13601-020-00345-8
Subject(s) - microbiome , asthma , dysbiosis , metagenomics , alternaria , aspergillus , medicine , allergy , immunology , phoma , microbiology and biotechnology , biology , gene , genetics , botany
Abstract Background Fungal and bacterial microbiota play an important role in development of asthma. We aim to characterize airway microbiome (mycobiome, bacteriome) and functional genes in asthmatics and controls. Methods Sputum microbiome of controls, untreated asthma patients and inhaled corticosteroid (ICS) receiving patients was detected using high throughput sequencing. Metagenomic sequencing was used to examine the functional genes of microbiome. Results 1. Mycobiome: α diversity was lower in untreated asthma group than that in controls. Mycobiome compositions differed among the three groups. Compared with controls, untreated asthma group has higher abundance of Wallemia, Mortierella and Fusarium. Compared with untreated asthma patients, ICS receiving patients has higher abundance of Fusarium and Mortierella, lower frequency of Wallemia, Alternaria and Aspergillus. 2. Bacteriome: α diversity was lower in untreated asthma group than that in controls. There are some overlaps of bacteriome compositions between controls and untreated asthma patients which were distinct from ICS receiving patients. Untreated asthma group has higher Streptococcus than controls. 3. Potential fungal and bacterial biomarkers of asthma: Trametes, Aspergillus, Streptococcus, Gemella, Neisseria, etc. 4. Correlation network: There are dense and homogenous correlations in controls but a dramatically unbalanced network in untreated asthma and ICS receiving patients, which suggested the existence of disease‐specific inter‐kingdom and intra‐kingdom alterations. 5. Metagenomic analysis: functional pathways were associated with the status of asthma, microbiome and functional genes showed different correlations in different environment. Conclusion We showed mycobiome and bacteriome dysbiosis in asthma featured by alterations in biodiversity, community composition, inter‐kingdom and intra‐kingdom network. We also observed several functional genes associated with asthma.